Python developer specializing in healthcare systems, APIs, and cloud architecture
Software Engineer at Cap Dev CR, currently dedicated to Capital Rx’s enterprise health platform, which integrates Medicare, Medicaid, and commercial PBM operations. Specialized in building HIPAA-compliant systems using Python, FastAPI, React, and AWS.
Proven track record in architecting mission-critical systems for clinical trials, government agencies, and enterprise organizations. Successfully deployed solutions across 90+ U.S. Embassies, generating annual savings of over $500K..
View Full ResumeCurrently contributing to Capital Rx's PBM platform development through Cap Dev CR, building features for systems that process millions of healthcare transactions. Previously led technology strategy at ProofPilot (clinical trials SaaS). Expert in microservices, APIs, and cloud infrastructure with AWS, GCP, and Azure.
Managed geographically dispersed development teams across multiple time zones. Successfully led projects for U.S. State Department, CDC, and international nonprofits. Built performance management systems and KPI frameworks driving continuous improvement.
Deep expertise in HIPAA, SOC 2, FISMA, and GDPR compliance. Architected highly encrypted environments for sensitive government and healthcare data. Implemented robust security frameworks ensuring data integrity and regulatory compliance across enterprise systems.
Core Expertise
From clinical trial automation to enterprise health platforms, I architect and deliver mission-critical systems that scale globally and comply with the strictest security standards.
Technology Director experience at enterprise companies, government agencies, and startups. Team leadership, Agile methodologies, KPI development, and cross-functional collaboration.
Python ❤️, FastAPI, Django, Flask, SQLAlchemy. APIs, microservices, data pipelines, Prefect, Playwright automation, and Alembic DB migrations. ETL and more.
HIPAA, SOC 2, FISMA, GDPR expertise. Clinical trial systems, PBM platforms, Medicare/Medicaid processing, and secure data handling for sensitive healthcare information.
AWS, GCP, Azure architectures. Docker, Terraform, CI/CD with GitHub Actions, Lambda, EC2, CloudWatch. Infrastructure as code and automated deployment pipelines.